Unverified50% confidenceFactExact time
大语言模型的输出token通常比输入token贵2-3倍，因为生成过程是自回归的，每次只生成一个token并重新运行前向传播
1
Sources
50%
Confidence
Long-term
Relevance
7/19/2026
First Seen
Sources
Related Claims
VerifiedOutput token pricing is typically higher than input token pricing because the generation process requires autoregressive decoding token by token.79% similarUnverifiedLarge language models predict the next token one at a time through an autoregressive generation mechanism, and are naturally inclined to generate more complete rather than more concise code.77% similarUnverifiedThe inference speed of large language models is constrained by the nature of autoregressive generation, which can only produce one token at a time and depends on all preceding tokens, making true parallelization impossible.73% similarUnverifiedThe cost of each large language model call is positively correlated with the number of input tokens, and in an Agent loop, as the conversation history accumulates, the cost of each call grows linearly.71% similarUnverifiedThe inference process of large language models is autoregressive, and the number of output Tokens is almost linearly correlated with response latency.71% similar
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